AI Engineer

AI engineer GENERAL DESCRIPTION We are seeking a skilled machine learning platform engineer (MLOps) to join our agile platform team which is part of our ML & AI ART. In this role, Bridge the gap between experimental data science and production-grade systems. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions. Further, you drive the orchestration of advanced agentic workflows to enable autonomous, AI-driven systems. You will be responsible for engineering robust data pipelines, establishing comprehensive model management lifecycles, overseeing all foundational platform-level AI integrations –including engineering a robust library of AI skills for agent use. kEY FEATURES OF THE POSITION Functional /Technical ·     Design,develop and deploy machine learning solutions and services ·     Implement end-to-end machine learning pipelines from data ingestion to training and model serving ·     Operationalize LLMs, embeddings, and multi-agent systems in real-world applications ·     Manage the machine learning and model lifecycle (experimentation, registry, deployment) ·     Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production ·     Containerize applications using Docker and orchestrate them via Kubernetes ·     Build and maintain CI/CD pipelines for ML models and LLM applications ·     Collaborate with data scientists to refactor research code into production-ready Python code ·     Monitor model performance, data drift, and performance in production ·     Assess and integrate AI solutions ensuring optimal performance and reliability ·     Design and implement production grade RAG systems ·     Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes ·     Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions SKILLS REQUIREMENTS OFTHE POSITION Competencies Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence Attention to detail and commitment to producing high-quality, reliable, and maintainable code Educationand skills requirements Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related fi